Literature DB >> 15305467

A practical approach to prevent gantry-couch collision for linac-based radiosurgery.

Chiaho Hua1, Jenghwa Chang, Kamil Yenice, Maria Chan, Howard Amols.   

Abstract

Gantry-couch collision is a serious concern for treatment planning of the linear accelerator (linac) based stereotactic radiosurgery (SRS). The ability to detect collision at the time of planning eliminates the need for backup plans and preserves the useful beam angles that would be deemed unsafe and discarded otherwise. Most collision-detection schemes embedded in commercial planning software guard only against the most apparent collisions. On the other hand, a fool-proof collision-map or lookup table often requires detailed measurement of machine geometry and complex graphic operations. In this study, we have developed a simple analytical method for collision detection with the use of quick machine-specific measurements. The collision detection is mathematically solved by determining whether two facets in three-dimensional space, representing gantry and couch surfaces, intersect with each other. A computer code was implemented and tested on a Varian Clinac 600C linac equipped with a BrainLab micromultileaf collimator (MLC) device. To measure machine-specific parameters, the lesion isocenter was set to the origin of the stereotactic coordinate system. The reference coordinates of couch bracket corners and micro-MLC to the linac isocenter were measured only once in the treatment room before they were incorporated into the computer program. Couch, gantry, and collimator were subsequently translated and rotated to study the clearance of various beam arrangements and lesion locations. Predicted results were verified at the machine. Our method correctly confirmed clearance for a retrospective study of 54 previously treated SRS plans (76 isocenters). It also accurately predicted the collisions for all ten artificially created cases. In conclusion, we have developed an analytical method for SRS collision detection that is accurate, easy to implement, and computationally inexpensive.

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Year:  2004        PMID: 15305467     DOI: 10.1118/1.1764391

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.506


  9 in total

1.  Interactive X-ray and proton therapy training and simulation.

Authors:  Felix G Hamza-Lup; Shane Farrar; Erik Leon
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-09       Impact factor: 2.924

2.  The development and verification of a highly accurate collision prediction model for automated noncoplanar plan delivery.

Authors:  Victoria Y Yu; Angelia Tran; Dan Nguyen; Minsong Cao; Dan Ruan; Daniel A Low; Ke Sheng
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

3.  Collision indicator charts for gantry-couch position combinations for Varian linacs.

Authors:  Stewart John Becker
Journal:  J Appl Clin Med Phys       Date:  2011-03-02       Impact factor: 2.102

4.  Development and clinical implementation of eclipse scripting-based automated patient-specific collision avoidance software.

Authors:  Thomas D Mann; Nicolas P Ploquin; William R Gill; Kundan S Thind
Journal:  J Appl Clin Med Phys       Date:  2019-07-07       Impact factor: 2.102

5.  A collision prediction framework for noncoplanar radiotherapy planning and delivery.

Authors:  Naveed Islam; Josh Kilian-Meneghin; Steven deBoer; Matthew Podgorsak
Journal:  J Appl Clin Med Phys       Date:  2020-06-19       Impact factor: 2.102

6.  Prediction of conical collimator collision for stereotactic radiosurgery.

Authors:  Jeonghoon Park; Ryan McDermott; Sangroh Kim; M Saiful Huq
Journal:  J Appl Clin Med Phys       Date:  2020-07-06       Impact factor: 2.102

7.  Design of a 3D patient-specific collision avoidance virtual framework for half-gantry proton therapy system.

Authors:  Jingjing M Dougherty; Thomas J Whitaker; Daniel W Mundy; Erik J Tryggestad; Chris J Beltran
Journal:  J Appl Clin Med Phys       Date:  2021-12-10       Impact factor: 2.102

8.  An open-source tool to visualize potential cone collisions while planning SRS cases.

Authors:  Anna Laura Licon; Ara Alexandrian; Daniel Saenz; Pamela Myers; Karl Rasmussen; Sotirios Stathakis; Niko Papanikolaou; Neil Kirby
Journal:  J Appl Clin Med Phys       Date:  2020-08-11       Impact factor: 2.102

9.  A practical method for predicting patient-specific collision in radiotherapy.

Authors:  Junjie Miao; Chuanmeng Niu; Zhiqiang Liu; Yuan Tian; Jianrong Dai
Journal:  J Appl Clin Med Phys       Date:  2020-05-28       Impact factor: 2.102

  9 in total

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